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  1. The time course of perceptual choice: The leaky, competing accumulator model.Marius Usher & James L. McClelland - 2001 - Psychological Review 108 (3):550-592.
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  • Thinking about mechanisms.Peter Machamer, Lindley Darden & Carl F. Craver - 2000 - Philosophy of Science 67 (1):1-25.
    The concept of mechanism is analyzed in terms of entities and activities, organized such that they are productive of regular changes. Examples show how mechanisms work in neurobiology and molecular biology. Thinking in terms of mechanisms provides a new framework for addressing many traditional philosophical issues: causality, laws, explanation, reduction, and scientific change.
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  • Computation and cognition: Issues in the foundation of cognitive science.Zenon W. Pylyshyn - 1980 - Behavioral and Brain Sciences 3 (1):111-32.
    The computational view of mind rests on certain intuitions regarding the fundamental similarity between computation and cognition. We examine some of these intuitions and suggest that they derive from the fact that computers and human organisms are both physical systems whose behavior is correctly described as being governed by rules acting on symbolic representations. Some of the implications of this view are discussed. It is suggested that a fundamental hypothesis of this approach is that there is a natural domain of (...)
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  • Do causal powers drain away.Ned Block - 2003 - Philosophy and Phenomenological Research 67 (1):133-150.
    In this note, I will discuss one issue concerning the main argument of Mind in a Physical World (Kim, 1998), the Causal Exclusion Argument. The issue is whether it is a consequence of the Causal Exclusion Argument that all macro level causation (that is, causation above the level of fundamental physics) is an illusion, with all of the apparent causal powers of mental and other macro properties draining into the bottom level of physics. I will argue that such a consequence (...)
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  • Functional analysis.Robert E. Cummins - 1975 - Journal of Philosophy 72 (November):741-64.
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  • The expected value of control: an integrative theory of anterior cingulate cortex function.Amitai Shenhav, Matthew Botvinick & Jonathan Cohen - 2013 - Neuron 79 (2):217–40.
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  • The Brain’s Heterogeneous Functional Landscape.Joseph B. McCaffrey - 2015 - Philosophy of Science 82 (5):1010-1022.
    Multifunctionality poses significant challenges for human brain mapping. Cathy Price and Karl Friston argue that brain regions perform many functions in one sense and a single function in another. Thus, neuroscientists must revise their “cognitive ontologies” to obtain systematic mappings. Colin Klein draws a different lesson from these findings: neuroscientists should abandon systematic mappings for context-sensitive ones. I claim that neither account succeeds as a general treatment of multifunctionality. I argue that brain areas, like genes or organs, are multifunctional in (...)
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  • The brain's concepts: The role of the sensory-motor system in conceptual knowledge.Vittorio Gallese & George Lakoff - 2007 - Cognitive Neuropsychology 22 (3-4):455-479.
    Concepts are the elementary units of reason and linguistic meaning. They are conventional and relatively stable. As such, they must somehow be the result of neural activity in the brain. The questions are: Where? and How? A common philosophical position is that all concepts—even concepts about action and perception—are symbolic and abstract, and therefore must be implemented outside the brain’s sensory-motor system. We will argue against this position using (1) neuroscientific evidence; (2) results from neural computation; and (3) results about (...)
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  • Functions as Selected Effects: The Conceptual Analyst’s Defense.Karen Neander - 1991 - Philosophy of Science 58 (2):168-184.
    In this paper I defend an etiological theory of biological functions (according to which the proper function of a trait is the effect for which it was selected by natural selection) against three objections which have been influential. I argue, contrary to Millikan, that it is wrong to base our defense of the theory on a rejection of conceptual analysis, for conceptual analysis does have an important role in philosophy of science. I also argue that biology requires a normative notion (...)
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  • Massive redeployment, exaptation, and the functional integration of cognitive operations.Michael L. Anderson - 2007 - Synthese 159 (3):329 - 345.
    Abstract: The massive redeployment hypothesis (MRH) is a theory about the functional topography of the human brain, offering a middle course between strict localization on the one hand, and holism on the other. Central to MRH is the claim that cognitive evolution proceeded in a way analogous to component reuse in software engineering, whereby existing components-originally developed to serve some specific purpose-were used for new purposes and combined to support new capacities, without disrupting their participation in existing programs. If the (...)
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  • (1 other version)The massive redeployment hypothesis and the functional topography of the brain.Michael L. Anderson - 2008 - Philosophical Psychology 21 (2):143-174.
    This essay introduces the massive redeployment hypothesis, an account of the functional organization of the brain that centrally features the fact that brain areas are typically employed to support numerous functions. The central contribution of the essay is to outline a middle course between strict localization on the one hand, and holism on the other, in such a way as to account for the supporting data on both sides of the argument. The massive redeployment hypothesis is supported by case studies (...)
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  • Neural computations that underlie decisions about sensory stimuli.Joshua I. Gold & Michael N. Shadlen - 2001 - Trends in Cognitive Sciences 5 (1):10-16.
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  • Anatomical and functional modularity in cognitive science: Shifting the focus.Vincent Bergeron - 2007 - Philosophical Psychology 20 (2):175 – 195.
    Much of cognitive science is committed to the modular approach to the study of cognition. The core of this approach consists of a pair of assumptions - the anatomical and the functional modularity assumptions - which motivate two kinds of inference: the anatomical and the functional modularity inferences. The legitimacy of both of these inferences has been strongly challenged, a situation that has had surprisingly little impact on most theorizing in the field. Following the introduction of an important, yet rarely (...)
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  • (2 other versions)Vision: Variations on Some Berkeleian Themes.Robert Schwartz & David Marr - 1985 - Philosophical Review 94 (3):411.
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  • Multi-use and constraints from original use.Justin A. Jungé & Daniel C. Dennett - 2010 - Behavioral and Brain Sciences 33 (4):277-278.
    Anderson's theory is plausible and largely consistent with the data. However, it remains underspecified on several fronts, and we highlight areas for potential improvement. Reuse is described as duplicating a functional component, preserving one function and tinkering to add another function. This is a promising model, but Anderson neglects other reasonable alternatives and we highlight several. Evidence cited in support of reuse fails to uniquely support it among a broader set of multi-use theories. We suggest that a more stringent criterion (...)
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  • (1 other version)Neural reuse: A fundamental organizational principle of the brain.Michael L. Anderson - 2010 - Behavioral and Brain Sciences 33 (4):245.
    An emerging class of theories concerning the functional structure of the brain takes the reuse of neural circuitry for various cognitive purposes to be a central organizational principle. According to these theories, it is quite common for neural circuits established for one purpose to be exapted (exploited, recycled, redeployed) during evolution or normal development, and be put to different uses, often without losing their original functions. Neural reuse theories thus differ from the usual understanding of the role of neural plasticity (...)
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  • (1 other version)Marr on computational-level theories.Oron Shagrir - 2010 - Philosophy of Science 77 (4):477-500.
    According to Marr, a computational-level theory consists of two elements, the what and the why . This article highlights the distinct role of the Why element in the computational analysis of vision. Three theses are advanced: ( a ) that the Why element plays an explanatory role in computational-level theories, ( b ) that its goal is to explain why the computed function (specified by the What element) is appropriate for a given visual task, and ( c ) that the (...)
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  • The representation of visual salience in monkey parietal cortex.J. P. Gottlieb, M. Kusunoki & M. E. Goldberg - 1998 - Nature 391 (6666):481-484.
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  • (1 other version)1. Marr on Computational-Level Theories Marr on Computational-Level Theories (pp. 477-500).Oron Shagrir, John D. Norton, Holger Andreas, Jouni-Matti Kuukkanen, Aris Spanos, Eckhart Arnold, Elliott Sober, Peter Gildenhuys & Adela Helena Roszkowski - 2010 - Philosophy of Science 77 (4):477-500.
    According to Marr, a computational-level theory consists of two elements, the what and the why. This article highlights the distinct role of the Why element in the computational analysis of vision. Three theses are advanced: that the Why element plays an explanatory role in computational-level theories, that its goal is to explain why the computed function is appropriate for a given visual task, and that the explanation consists in showing that the functional relations between the representing cells are similar to (...)
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  • Motivation of extended behaviors by anterior cingulate cortex.Clay B. Holroyd & Nick Yeung - 2012 - Trends in Cognitive Sciences 16 (2):122-128.
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  • Artificial Intelligence: The Very Idea.Barbara Von Eckardt - 1988 - Philosophical Review 97 (2):286.
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  • (1 other version)The Massive Redeployment Hypothesis and the Functional Topography of the Brain.Michael L. Anderson - 2007 - Philosophical Psychology 20 (2):143-174.
    This essay introduces the massive redeployment hypothesis, an account of the functional organization of the brain that centrally features the fact that brain areas are typically employed to support numerous functions. The central contribution of the essay is to outline a middle course between strict localization on the one hand, and holism on the other, in such a way as to account for the supporting data on both sides of the argument. The massive redeployment hypothesis is supported by case studies (...)
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